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An extended car-following model at un-signalized intersections under V2V communication environment

An extended car-following model is proposed in this paper to analyze the impacts of V2V (vehicle to vehicle) communication on the micro driving behavior at the un-signalized intersection. A four-leg un-signalized intersection with twelve streams (left-turn, through movement, and right turn from each...

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Detalles Bibliográficos
Autores principales: Wang, Tao, Zhao, Jing, Li, Peng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5806906/
https://www.ncbi.nlm.nih.gov/pubmed/29425243
http://dx.doi.org/10.1371/journal.pone.0192787
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author Wang, Tao
Zhao, Jing
Li, Peng
author_facet Wang, Tao
Zhao, Jing
Li, Peng
author_sort Wang, Tao
collection PubMed
description An extended car-following model is proposed in this paper to analyze the impacts of V2V (vehicle to vehicle) communication on the micro driving behavior at the un-signalized intersection. A four-leg un-signalized intersection with twelve streams (left-turn, through movement, and right turn from each leg) is used. The effect of the guidance strategy on the reduction of the rate of stops and total delay is explored by comparing the proposed model and the traditional FVD car-following model. The numerical results illustrate that potential conflicts between vehicles can be predicted and some stops can be avoided by decelerating in advance. The driving comfort and traffic efficiency can be improved accordingly. More benefits could be obtained under the long communication range, low to medium traffic density, and simple traffic pattern conditions.
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spelling pubmed-58069062018-02-23 An extended car-following model at un-signalized intersections under V2V communication environment Wang, Tao Zhao, Jing Li, Peng PLoS One Research Article An extended car-following model is proposed in this paper to analyze the impacts of V2V (vehicle to vehicle) communication on the micro driving behavior at the un-signalized intersection. A four-leg un-signalized intersection with twelve streams (left-turn, through movement, and right turn from each leg) is used. The effect of the guidance strategy on the reduction of the rate of stops and total delay is explored by comparing the proposed model and the traditional FVD car-following model. The numerical results illustrate that potential conflicts between vehicles can be predicted and some stops can be avoided by decelerating in advance. The driving comfort and traffic efficiency can be improved accordingly. More benefits could be obtained under the long communication range, low to medium traffic density, and simple traffic pattern conditions. Public Library of Science 2018-02-09 /pmc/articles/PMC5806906/ /pubmed/29425243 http://dx.doi.org/10.1371/journal.pone.0192787 Text en © 2018 Wang et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Wang, Tao
Zhao, Jing
Li, Peng
An extended car-following model at un-signalized intersections under V2V communication environment
title An extended car-following model at un-signalized intersections under V2V communication environment
title_full An extended car-following model at un-signalized intersections under V2V communication environment
title_fullStr An extended car-following model at un-signalized intersections under V2V communication environment
title_full_unstemmed An extended car-following model at un-signalized intersections under V2V communication environment
title_short An extended car-following model at un-signalized intersections under V2V communication environment
title_sort extended car-following model at un-signalized intersections under v2v communication environment
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5806906/
https://www.ncbi.nlm.nih.gov/pubmed/29425243
http://dx.doi.org/10.1371/journal.pone.0192787
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